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Dataset supporting the conference paper 'Content- and Lighting-Aware Adaptive Brightness Scaling for Improved Mobile User Experience'

Dataset supporting the conference paper 'Content- and Lighting-Aware Adaptive Brightness Scaling for Improved Mobile User Experience'
Dataset supporting the conference paper 'Content- and Lighting-Aware Adaptive Brightness Scaling for Improved Mobile User Experience'
This dataset supports the publication "Content- and Lighting-Aware Adaptive Brightness Scaling for Improved Mobile User Experience" to be published in the Proceedings of the 2023 Design, Automation and Test in Europe Conference and Exhibition. This dataset contains: -'table1.csv': Data supporting Table 1. Battery life evaluation in each of the ambient clusters for the four approaches considered. -'fig2a.csv': Data supporting Fig. 2a. The averaged QoE evaluation for the different approaches considered while under sufficient battery energy. -'fig2b.csv': Data supporting Fig. 2b. The averaged QoE evaluation for the different approaches considered while under insufficient battery energy.
University of Southampton
Isuwa, Samuel
e15134be-5335-454e-8a42-72acae47804a
Amos, David
9c148e69-a5cc-4435-bf31-e8cafd9234fc
Singh, Amit Kumar
6060c472-a1c6-4786-8940-15cde5c88e47
Al-Hashimi, Bashir M.
3290197f-e374-4e7f-ab7a-4d5a81109daf
Merrett, Geoffrey
89b3a696-41de-44c3-89aa-b0aa29f54020
Isuwa, Samuel
e15134be-5335-454e-8a42-72acae47804a
Amos, David
9c148e69-a5cc-4435-bf31-e8cafd9234fc
Singh, Amit Kumar
6060c472-a1c6-4786-8940-15cde5c88e47
Al-Hashimi, Bashir M.
3290197f-e374-4e7f-ab7a-4d5a81109daf
Merrett, Geoffrey
89b3a696-41de-44c3-89aa-b0aa29f54020

Isuwa, Samuel (2022) Dataset supporting the conference paper 'Content- and Lighting-Aware Adaptive Brightness Scaling for Improved Mobile User Experience'. University of Southampton doi:10.5258/SOTON/D2490 [Dataset]

Record type: Dataset

Abstract

This dataset supports the publication "Content- and Lighting-Aware Adaptive Brightness Scaling for Improved Mobile User Experience" to be published in the Proceedings of the 2023 Design, Automation and Test in Europe Conference and Exhibition. This dataset contains: -'table1.csv': Data supporting Table 1. Battery life evaluation in each of the ambient clusters for the four approaches considered. -'fig2a.csv': Data supporting Fig. 2a. The averaged QoE evaluation for the different approaches considered while under sufficient battery energy. -'fig2b.csv': Data supporting Fig. 2b. The averaged QoE evaluation for the different approaches considered while under insufficient battery energy.

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Dataset.zip - Dataset
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More information

Published date: December 2022
Learn more about School of Electronics and Computer Science research Learn more about Cyber Physical Systems research

Identifiers

Local EPrints ID: 473052
URI: http://eprints.soton.ac.uk/id/eprint/473052
DOI: doi:10.5258/SOTON/D2490
PURE UUID: bc49f899-2d64-4cbb-b609-d20d77018750
ORCID for Samuel Isuwa: ORCID iD orcid.org/0000-0002-2235-4091
ORCID for Geoffrey Merrett: ORCID iD orcid.org/0000-0003-4980-3894

Catalogue record

Date deposited: 09 Jan 2023 18:28
Last modified: 06 May 2023 02:00

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Contributors

Creator: Samuel Isuwa ORCID iD
Contributor: David Amos
Research team head: Amit Kumar Singh
Research team head: Bashir M. Al-Hashimi
Research team head: Geoffrey Merrett ORCID iD

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